Bhavika Gupta

Built predictive models to forecast staffing needs, reducing overstaffing by 15%, and improving resource allocation efficiency by 20%.

Developed machine learning models that improved forecast accuracy by 30%, reducing SLA breaches across multiple projects.

Analyzed historical workforce data to identify patterns, cutting idle time by 10% through optimized shift planning.

Implemented advanced analytics dashboards using Python and Power BI, streamlining reporting and decreasing manual effort by 40%.

Automated performance tracking and reporting through scripting, reducing report generation time by 50%.

Designed a real-time anomaly detection system for workforce attrition, improving employee retention by 12%.

Conducted a deep analysis of workforce trends, identifying key drivers of absenteeism, and reducing unplanned absenteeism by 8%.

Led initiatives to optimize staffing levels, resulting in $100K annual savings through efficient resource deployment.

Leveraged machine learning algorithms to predict call volume, enhancing workforce planning accuracy by 25%.

Built a churn prediction model, enabling HR to proactively engage with at-risk employees, decreasing churn by 7%.

Collaborated with HR and operations teams to analyze employee performance, driving a 10% improvement in KPI adherence through data insights.

Partnered with IT to integrate workforce analytics tools, enhancing data accessibility, and improving reporting accuracy by 20%.

Applied time-series forecasting & Exponential smoothing and Correlation Analysis for workforce demand planning, achieving 98% forecast accuracy.

• Developed and executed data-driven project management strategies to optimize resource allocation and utilization.
• Leveraged historical datasets and trend analysis to build robust forecasting models, enhancing projection accuracy.
• Designed interactive Tableau dashboards to track and visualize KPIs effectively.
• Processed and analyzed large-scale datasets to uncover actionable trends, patterns, and correlations, driving business insights.
• Applied statistical methods to transform raw data into meaningful, interpretable insights.
• Created dynamic visualizations to enable stakeholders to intuitively understand results from advanced analyses.
• Delivered data-backed recommendations to support strategic decision-making and business planning.

• Analyzed vendor performance metrics to determine areas for improvement.
• Conducted periodic reviews of vendors to ensure compliance with contractual obligations.
• Evaluated supplier market trends to identify cost savings opportunities.
• Identified ways to improve existing relationships with key suppliers through effective communication strategies.